Exciting Trainee Data Scientist Opportunities at Equifax – Don’t Miss Out!

Are you ready to kickstart your career in data science? Equifax, a leader in the credit industry, is on the lookout for talented individuals to join their Data & Analytics team as a Trainee Data Scientist. This is an incredible opportunity for fresh graduates who are passionate about data and eager to make a significant impact in a dynamic and innovative environment. With a focus on statistical modeling, machine learning, and data manipulation, this role offers a chance to develop your skills while working on real-world problems that influence business decisions. If you have a strong analytical mindset and a desire to explore the world of data, then this position could be your perfect fit. Join us in Bengaluru, India, and be part of a team that values innovation and collaboration.

Key Job Details

• Job Title: Trainee – Data Scientist
• Company: Equifax
• Location: Bangalore, India
• Date Posted: December 4, 2025
• Employment Type: Full Time
• Education Requirement: Graduation
• Salary Package: As per Company Standards
• Industry: Data & Analytics
• Job ID: J00171981

About the Role

The Trainee Data Scientist position at Equifax is designed for individuals who are eager to learn and grow in the field of data science. In this role, you will utilize your knowledge of statistical and machine learning techniques to develop models that predict customer behavior, assess credit risk, and identify potential fraud patterns. You will be working closely with cross-functional teams to translate business requirements into actionable data insights. This collaborative approach ensures that your work directly supports the broader business objectives of Equifax. Additionally, you will engage in exploratory data analysis, feature engineering, and model evaluation, which are critical to ensuring the accuracy and reliability of your models. By staying updated with the latest advancements in data science, you will have the opportunity to innovate and apply new methodologies that enhance the company’s data capabilities.

Required Skills

• Statistical and Machine Learning Techniques: Proficiency in statistical modeling and familiarity with machine learning algorithms such as regression, classification, and clustering.
• Data Manipulation and Analysis: Expertise in SQL, Python, and data manipulation tools like Pandas and NumPy for extracting and analyzing large datasets.
• Problem-solving and Analytical Skills: Ability to break down complex problems, identify patterns, and draw meaningful conclusions from data.
• Communication Skills: Effective communication of technical concepts to both technical and non-technical audiences.
• Domain Knowledge: Understanding of the credit industry and experience in risk modeling and fraud detection is a significant advantage.
• Passion for Data: A genuine interest in exploring data and uncovering insights.
• Business Acumen: Ability to connect data insights to business outcomes and propose data-driven solutions.
• Innovation: A creative mindset to explore new approaches and technologies.
• Team Collaboration: Strong interpersonal skills to work effectively in a collaborative environment.

Responsibilities

• Develop and implement statistical models and machine learning algorithms to predict credit risk and analyze customer behavior.
• Collaborate with cross-functional teams to understand business needs and translate them into actionable insights.
• Perform exploratory data analysis and ensure data quality through rigorous cleaning and validation processes.
• Stay updated on the latest advancements in data science and apply relevant techniques to solve business problems.
• Communicate findings and recommendations to various stakeholders effectively.

Why Join Equifax

Equifax is committed to fostering a culture of innovation and collaboration. As a part of their team, you will have access to numerous growth opportunities, both personally and professionally. The company believes in investing in its employees’ development through training programs and mentorship. You will be part of a diverse workforce that values each individual’s unique contributions, promoting a dynamic work environment. In addition, Equifax offers a competitive salary and benefits package, ensuring that you are well-compensated for your skills and efforts. Joining Equifax means becoming part of a forward-thinking organization that is dedicated to making a difference in the world of credit and analytics.

Industry Trends

The demand for data scientists is growing rapidly as businesses increasingly rely on data-driven decision-making. In 2025, the role of data scientists is expected to be one of the most sought-after positions across various industries, making this an opportune time to join the field. Companies are recognizing the value of data analytics in understanding customer behavior, optimizing operations, and enhancing security measures against fraud. As a Trainee Data Scientist at Equifax, you will be at the forefront of these industry trends, playing a vital role in shaping the future of data analytics.

How to Apply

If you are passionate about data and eager to start your career in analytics, don’t wait! Take the first step towards an exciting future at Equifax.

Apply Here